AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 960 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
2. 2.True or false: “naming a new leaf” is the model. (a) True (b) False
3. 3.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) naming a new leaf (d) tomorrow’s rain guess
4. 4.True or false: “flagging a new email” is a prediction. (a) False (b) True
5. 5.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
6. 6.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
10. 10.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “past weather records” is a prediction. (a) True (b) False
13. 13.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
14. 14.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
15. 15.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
16. 16.True or false: “the learned patterns” is a prediction. (a) False (b) True
17. 17.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) what training builds
18. 18.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) what training builds (d) recorded spoken words
19. 19.True or false: “naming a new fruit photo” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
22. 22.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
23. 23.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
27. 27.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) past weather records
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
29. 29.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the learned patterns
30. 30.True or false: “labelled fruit photos” is training data. (a) False (b) True
31. 31.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
33. 33.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
34. 34.True or false: “old emails marked spam” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
36. 36.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) past weather records
37. 37.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
38. 38.True or false: “the trained program” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
40. 40.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program

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